Výsledky vyhledávání - "Sílvio Fernando Alves Xavier Júnior"

Akademický článek

Precipitation trends analysis by Mann-Kendall test: a case study of Paraíba, Brazil

Autor: Sílvio Fernando Alves Xavier Júnior, Jader da Silva Jale, Tatijana Stosic, Carlos Antonio Costa dos Santos, Vijay P. Singh

Publikováno v: Revista Brasileira de Meteorologia, Vol 35, Iss 2, Pp 187-196 (2020)

Abstract This work aimed to select semivariogram models to estimate trends in monthly precipitation in Paraiba State-Brazil using ordinary kriging. The methodology involves the application of geostatistical interpolation of precipitation records of 5

Externí odkaz: https://doaj.org/article/71c6c26cebcd4fd8a2d873e44b16d04a

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Akademický článek

Application of Markov chain on daily rainfall data in Paraíba-Brazil from 1995-2015

Autor: Jader da Silva Jale, Sílvio Fernando Alves Xavier Júnior, Érika Fialho Morais Xavier, Tatijana Stošić, Borko Stošić, Tiago Alessandro Espínola Ferreira

Publikováno v: Acta Scientiarum: Technology, Vol 41, Iss 1, Pp e37186-e37186 (2019)

This study analyzed the behavior of daily rainfall in the State of Paraíba using the data from five meteorological stations distributed across the mesoregions of this state. We used the three-state Markov Chain model, in which states are defined as

Externí odkaz: https://doaj.org/article/3f25ec92b0d849d1830e818c17b04000

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Akademický článek

A Brief multifractal analysis of rainfall dynamics in Piracicaba, São Paulo, Brazil

Autor: Sílvio Fernando Alves Xavier Júnior, Tatijana Stosic, Borko Stosic, Jader Da Silva Jale, Érika Fialho Morais Xavier

Publikováno v: Acta Scientiarum: Technology, Vol 40, Iss 1, Pp e35116-e35116 (2018)

The aim of this study was to evaluate the statistical properties of a daily rainfall time series recorded in Piracicaba river basin, state of Sao Paulo, Brazil in the period 1917-2016. We apply Multifractal Detrended Fluctuation Analysis (MF-DFA) on

Externí odkaz: https://doaj.org/article/3b05b3701ff44d06b24787a69666a8cf

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MULTIFRACTAL ANALYSIS OF SOLAR RADIATION IN THE NORTHEASTERN REGION OF BRAZIL

Autor: FÁBIO SANDRO DOS SANTOS, KEROLLY KEDMA FELIX DO NASCIMENTO, JADER SILVA JALE, SÍLVIO FERNANDO ALVES XAVIER JÚNIOR, TIAGO A. E. FERREIRA

Publikováno v: Fractals. 31

In this work, we used hourly data of high frequency of solar radiation from the entire Northeast region of Brazil. We used the Multifractal Detrended Fluctuation Analysis (MFDFA) method to analyze the characteristics of the solar radiation series in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c95374a7201bd7199b5c1d30bc2aa1cc
https://doi.org/10.1142/s0218348x23500263

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HAS THE COVID-19 PANDEMIC AFFECTED THE FLOW OF INFORMATION AMONG CRYPTOCURRENCIES?

Autor: KEROLLY KEDMA FELIX DO NASCIMENTO, FÁBIO SANDRO DOS SANTOS, JADER SILVA JALE, SÍLVIO FERNANDO ALVES XAVIER JÚNIOR, TIAGO A. E. FERREIRA

Publikováno v: Fractals. 30

In this paper, we investigated the impact of the COVID-19 pandemic on the cryptocurrency market. The direction of information transfer between the 67 digital cryptocurrency markets was evaluated, in particular Bitcoin, Ethereum, Litecoin, and Ripple,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::732cc647dfd98d5108653a692ed8d427
https://doi.org/10.1142/s0218348x22500992

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Information flow between Ibovespa and constituent companies

Autor: Borko Stosic, Jader da Silva Jale, Sílvio Fernando Alves Xavier Júnior, Tiago A. E. Ferreira, Tatijana Stosic

Publikováno v: Physica A: Statistical Mechanics and its Applications. 516:233-239

We study the direction of information flow between Ibovespa index and its constituent companies using the Transfer entropy method. We find stronger information transfer from individual stocks towards the composite index, than in the opposite directio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dd933b67bbb13b6fe611b1777dfd4def
https://doi.org/10.1016/j.physa.2018.09.150

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Modelagem com regressão logística para análise de concessão de crédito

Autor: Rafaella Santos Beserra, Nyedja Fialho Morais Barbosa, Ana Patricia Bastos Peixoto, Érika Fialho Morais Xavier, Jader Silva Jale, Sílvio Fernando Alves Xavier Júnior

Publikováno v: Research, Society and Development. 11:e15211729761

Com o avanço do Big Data e o crescente número de grandes massas de dados nas mais diversas áreas de estudo, técnicas de mineração de dados tornam-se cada vez mais necessárias para obtenção de informações estatísticas precisas e robustas.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::759bdad5fd424fae280ea3eb648e5593
https://doi.org/10.33448/rsd-v11i7.29761

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Una aplicación del algoritmo Particle Swarm Optimization (PSO) con datos de precipitación diaria en Campina Grande, Paraíba, Brasil

Autor: Jader da Silva Jale, Antonio Leopoldo Cardoso Sabino, Tiago Almeida de Oliveira, Érika Fialho Morais Xavier, Sílvio Fernando Alves Xavier Júnior

Publikováno v: Research, Society and Development; Vol. 9 No. 8; e444985841
Research, Society and Development; Vol. 9 Núm. 8; e444985841
Research, Society and Development; v. 9 n. 8; e444985841
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
Research, Society and Development, Vol 9, Iss 8 (2020)

We study the daily precipitation in the municipality of Campina Grande, estimating the parameters of Gamma, Log-Normal, and Weibull distributions. To evaluate the parameter estimators, we compared the Particle Swarm Optimization (PSO) versus Maximum

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed1469591fc11e55fbc89ea7af265f75
https://rsdjournal.org/index.php/rsd/article/view/5841

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